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Artificial intelligence and consumer behavior: From predictive to generative AI
Since the introduction of ChatGPT, the leading example of Generative Artificial Intelligence
(GenAI), the research community and the general public have been captivated by GenAI's …
(GenAI), the research community and the general public have been captivated by GenAI's …
On the persistent mischaracterization of Google and Facebook A/B tests: How to conduct and report online platform studies
Marketing research has increasingly relied on online platform studies, which are studies
conducted in a naturalistic online environment and which leverage the A/B testing tool …
conducted in a naturalistic online environment and which leverage the A/B testing tool …
Algorithmic bias: Social science research integration through the 3-D Dependable AI Framework
K Ukanwa - Current Opinion in Psychology, 2024 - Elsevier
Algorithmic bias has emerged as a critical challenge in the age of responsible production of
artificial intelligence (AI). This paper reviews recent research on algorithmic bias and …
artificial intelligence (AI). This paper reviews recent research on algorithmic bias and …
AI types and organizational implications in various task contexts: a quantitative review from China
Z Kan, S Zhao, W Chi, J Zhou - Asia Pacific Business Review, 2024 - Taylor & Francis
This research delves into the nature of artificial intelligence (AI) and its influence on
employees. We review existing definitions and applications of AI, categorizing it into three …
employees. We review existing definitions and applications of AI, categorizing it into three …
Identifying targeted needs from online marketer-and user-generated data
Y Bai, G Yu-Buck - Journal of Retailing and Consumer Services, 2025 - Elsevier
On e-retailing sites, marketer-generated content (MGC), user-generated content (UGC), and
potential user-generated content (PUGC) are constantly conveying their needs. Identifying …
potential user-generated content (PUGC) are constantly conveying their needs. Identifying …
Female perspectives on algorithmic bias: implications for AI researchers and practitioners
Purpose This article explores the use of natural language processing (NLP) techniques and
machine learning (ML) models to discover underlying concepts of gender inequality applied …
machine learning (ML) models to discover underlying concepts of gender inequality applied …
Reducing prejudice with counter‐stereotypical AI
Based on a review of relevant literature, we propose that the proliferation of AI with human‐
like and social features presents an unprecedented opportunity to address the underlying …
like and social features presents an unprecedented opportunity to address the underlying …
Using AI for controllable stimuli generation: An application to gender discrimination with faces
Natural stimuli involving unstructured data like images can be decomposed into many latent
features, which may be highly correlated and partially unobserved to the researcher. This …
features, which may be highly correlated and partially unobserved to the researcher. This …
The Tangled Web of Social Bias: Unraveling Human and Algorithmic Biases on Digital Platforms
R Fu - Available at SSRN 5008463, 2024 - papers.ssrn.com
Social bias has become a critical issue that affects user experiences and outcomes on
digital platforms. This chapter examines the complex nature of social bias within digital …
digital platforms. This chapter examines the complex nature of social bias within digital …
Generative AI Solutions to Empower Financial Firms
The advent of Generative AI (GenAI) has caused consternation across the industrial
landscape. The financial industry is no exception. The scramble to find GenAI solutions in …
landscape. The financial industry is no exception. The scramble to find GenAI solutions in …